Messaging for targeted battery unit degredation
One or more embodiments described herein can facilitate electric charge transfer to/from one or more battery cells and/or multi-cell battery packs of an electric vehicle from a second electric vehicle, based at least in part on state of charge and/or state of health monitoring at one or more of the cell-level or pack-level. An exemplary method can comprise identifying, by a system operatively coupled to a processor, based on a comparison of a metric to a historical metric for vehicle performance, a current event that is defined by the metric as leading to degradation of a plurality of battery cells of a vehicle system, upon identifying the current event, determining, by the system, a subset of the plurality of battery cells that is beyond a threshold for remediation, and continuing to use, by the system, the subset such that the subset degrades towards end of life of the subset.
1. A system, comprising:
a memory that stores computer executable components; and
a processor that executes the computer executable components stored in the memory, wherein the computer executable components are executable to perform operations, the operations comprising:
identifying, based on a comparison of a metric to a historical metric for vehicle performance, a current event that is defined by the metric as leading to degradation of a plurality of battery cells of a vehicle system;
upon identifying the current event, determining a first subset of the plurality of battery cells that is beyond a threshold for remediation;
continuing to use the first subset of the plurality of battery cells such that the first subset of the plurality of battery cells degrades towards end of life of the first subset of the plurality of battery cells;
identifying a second subset of the plurality of battery cells that is not beyond the threshold for remediation; and
ceasing to use the second subset of the plurality of battery cells such that the second subset of the plurality of battery cells is not degraded towards end of life of the second subset of the plurality of battery cells.
2. The system of claim 1 , wherein the operations further comprise:
comparing the metric to the historical metric by employing an artificial intelligence model.
3. The system of claim 1 , wherein the metric defining the current event is obtained from the system or from a source external to the system.
4. The system of claim 3 , wherein the metric obtained from the source comprises weather data, communication data, or personal data of a user employing the system.
5. The system of claim 1 , wherein the historical metric is related to performance of the vehicle or of a second vehicle.
6. The system of claim 1 , wherein continuing to use the first subset of the plurality of battery cells comprises continuing to discharge the first subset of the plurality of battery cells or continuing to charge the first subset of the plurality of battery cells.
7. The system of claim 1 , wherein the operations further comprise:
identifying the first subset of the plurality of battery cells further based on a specified threshold, wherein a state of health of the first subset of the plurality of battery cells satisfies the specified threshold.
8. The system of claim 7 , wherein the specified threshold is further defined by vehicle performance, subset performance, battery warranty, or subset replacement cost.
9. A method, comprising:
identifying, by a system operatively coupled to a processor, based on a comparison of a metric to a historical metric for vehicle performance, a current event that is defined by the metric as leading to degradation of a plurality of battery cells of a vehicle system;
upon identifying the current event, determining, by the system, a first subset of the plurality of battery cells that is beyond a threshold for remediation;
continuing to use, by the system, the first subset of the plurality of battery cells such that the first subset of the plurality of battery cells degrades towards end of life of the first subset of the plurality of battery cells;
identifying, by the system, a second subset of the plurality of battery cells that is not beyond the threshold for remediation; and
ceasing to use, by the system, the second subset of the plurality of battery cells such that the second subset of the plurality of battery cells is not degraded towards end of life of the second subset of the plurality of battery cells.
10. The method of claim 9 , further comprising:
comparing, by the system, the metric to the historical metric by employing an artificial intelligence model.
11. The method of claim 9 , wherein the metric defining the current event is obtained from the system or from a source external to the system.
12. The method of claim 11 , wherein the metric obtained from the source comprises weather data, communication data, or personal data of a user employing the system.
13. The method of claim 9 , wherein continuing to use the first subset of the plurality of battery cells comprises continuing to discharge the first subset of the plurality of battery cells or continuing to charge the first subset of the plurality of battery cells.
14. The method of claim 9 , further comprising:
identifying, by the system, the first subset of the plurality of battery cells further based on a specified threshold, wherein a state of health of the first subset of the plurality of battery cells satisfies the specified threshold.
15. A non-transitory machine-readable medium, comprising executable instructions that, when executed by a processor, facilitate performance of operations, the operations comprising:
identifying, by the processor, based on a comparison of a metric to a historical metric for vehicle performance, a current event that is defined by the metric as leading to degradation of a plurality of battery cells of a vehicle system;
upon identifying the current event, determining, by the processor, a first subset of the plurality of battery cells that is beyond a threshold for remediation;
continuing to use, by the processor, the first subset of the plurality of battery cells such that the first subset of the plurality of battery cells degrades towards end of life of the first subset of the plurality of battery cells;
identifying, by the processor, a second subset of the plurality of battery cells that is not beyond the threshold for remediation; and
ceasing to use, by the processor, the second subset of the plurality of battery cells such that the second subset of the plurality of battery cells is not degraded towards end of life of the second subset of the plurality of battery cells.
16. The non-transitory machine-readable medium of claim 15 , wherein the operations further comprise:
comparing, by the processor, the metric to the historical metric by employing an artificial intelligence model.
17. The non-transitory machine-readable medium of claim 15 , wherein the metric defining the current event is obtained from a source external to the vehicle system, and wherein the metric obtained from the source comprises weather data, communication data, or personal data of a user employing the vehicle system.
18. The non-transitory machine-readable medium of claim 15 , wherein continuing to use the first subset of the plurality of battery cells comprises continuing to discharge the first subset of the plurality of battery cells or continuing to charge the first subset of the plurality of battery cells.
19. The non-transitory machine-readable medium of claim 15 , wherein the operations further comprise:
identifying, by the processor, the first subset of the plurality of battery cells further based on a specified threshold, wherein a state of health of the subset of the plurality of battery cells satisfies the specified threshold.
20. The non-transitory machine-readable medium of claim 19 , wherein the specified threshold is further defined by vehicle performance, subset performance, battery warranty, or subset replacement cost.